A Python-based framework for developing and orchestrating AI agents. TinyAGI is built with modularity in mind, featuring a dedicated CLI for managing agents, plugins, and chat sessions. Its architecture supports a variety of LLMs (e.g., Google Gemini, Ollama, OpenAI) and can be extended with custom tools and plugins for specialized tasks.

🧠 TinyAGI

TinyAGI is a powerful, modular Artificial General Intelligence (AGI) framework crafted for seamless integration and management of AI agents, plugins, and tools. With its adaptable and extensible architecture, TinyAGI enables dynamic loading of components from local and GitHub-hosted sources, empowering you to customize and scale for a multitude of use cases. It's designed to be lightweight, easy to understand, and highly extensible.

Disclaimer: This is a preview release (version 0.0.2) of TinyAGI, which is currently under active development. This release is intended for testing, feedback, and early experimentation. Please be aware that the API is subject to change, and frequent updates are expected.

📖 Table of Contents

• 🧩 Features
• 📦 Installation
• 🔧 Setup Instructions
• 🛠️ Usage
  • Interactive CLI
  • Direct Commands
  • API Server
  • Programmatic Usage
• 📚 Documentation
• 🧪 Testing
• 📝 Contributing
• 🛡 License
• 📞 Contact
• 🗺️ Roadmap

🧩 Features

• 🌐 Agent System: Manage various AI agents, from OpenAI to Ollama and LLaMA.
• 🔌 Plugin Manager: Seamlessly expand functionality with versatile plugins.
• 🛠 Tool Integration: Use tools like the Wikip